scenario-ideogram — Claude Code skill: Ideogram images over MCP
A skill for generating and editing images with Ideogram models on Scenario over MCP: in-image text, transparent PNGs, background removal.
npx skills add scenario-labs/skills --skill scenario-ideogram -a claude-codeWhat scenario-ideogram does
This skill covers working with the Ideogram family on Scenario over MCP. It is not one model with modes but a set of single-purpose members: 4.5 for generation where in-image text must read, 4.5 Precise Edit for changing one thing and leaving the rest alone, V3 Generate Transparent for native alpha, V3 Layerize Text for turning a flat graphic into editable text layers, Character for one identity across scenes, and Remove Background for cutouts. V4 still answers searches but was tagged deprecated in favor of 4.5.
Mechanics barely agree between members: the same concept changes name, casing, and allowed values. So the skill tells you to discover each one with search and treat its model_schema_get as the contract. Masks flip too: on 4.5 and Precise Edit white marks the region to edit, on Character black repaints and white stays. Only V3 Transparent takes a negativePrompt.
Edits that keep the canvas get their own section. aspectRatio: "source" on 4.5 and every Precise Edit run return the source's exact pixel size, even one outside the ratio list. That matters when the edited file has to drop back into a layout or a sprite sheet unchanged. A headline swap needs no mask on Precise Edit: maskless at the medium default left the rest of the scene untouched. Note that 2K tops out near 3072 on the long edge and there is no 4K. Check price with dry_run: 4.5 defaults to high, its most expensive tier, while Precise Edit defaults to medium.
What it helps with
- generate a poster with exact text inside the image
- change one detail without touching the rest of the scene
- get a transparent PNG without manual cutout work
- remove a background while keeping hair and glass edges
- turn a flat graphic into editable text layers
Example prompts for the agent
- make a poster with the headline "Grand Opening" using Ideogram 4.5
- swap the headline on this image with Precise Edit and keep the source size
- remove the background from this photo and save a transparent PNG
How to install scenario-ideogram
1Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-ideogram -a claude-code2Manually: put the files in place
~/.claude/skills/scenario-ideogram/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/scenario-ideogram/
1Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-ideogram -a codex2Manually: put the files in place
.agents/skills/scenario-ideogram/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-ideogram -a cursor2Manually: put the files in place
.cursor/skills/scenario-ideogram/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install scenario-labs/skills scenario-ideogram2Manually: put the files in place
.github/skills/scenario-ideogram/SKILL.md1Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-ideogram -a gemini-cli2Platform CLI
gemini skills install https://github.com/scenario-labs/skills --path skills/scenario-ideogramManually: put the files in place
.devin/skills/scenario-ideogram/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add scenario-labs/skills --skill scenario-ideogram -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about scenario-ideogram
How do I install scenario-ideogram in Claude?
Run npx skills add scenario-labs/skills --skill scenario-ideogram -a claude-code. The skill lands at ~/.claude/skills/scenario-ideogram/SKILL.md.
What does scenario-ideogram do?
It covers Ideogram models on Scenario over MCP: text-heavy generation, in-place edits, transparent PNG output, background removal, editable text layers, and one character held across scenes from a reference.
How is 4.5 different from Precise Edit?
4.5 handles generation and reference-guided edits; Precise Edit changes one thing and keeps the source size. Their quality defaults differ: high for 4.5, medium for Precise Edit.
Source text
SKILL.md · MIT
---
name: scenario-ideogram
description: "Use when generating or editing images with Ideogram models on Scenario via MCP: posters, logos, menus, packaging, or signage with exact in-image text, editing an image in place while keeping its exact size, transparent PNG generation, background removal that keeps hair and glass edges, editable text layers for localization, or one consistent character from a reference. Keywords: Ideogram 4.5, Precise Edit, V4, V3, typography, aspect ratio, layerize, character reference, inpainting."
license: MIT
---
# Scenario Ideogram Image
## Overview
Ideogram's image family on Scenario is a set of single-purpose members, not one model with modes:
4.5 for generation where in-image text must read and for reference-guided edits, 4.5 Precise Edit
for changing one thing and leaving the rest alone, V3 Generate Transparent for native alpha output,
V3 Layerize Text for turning a flat graphic into editable text layers, Character for one identity
held across scenes, and Remove Background for cutouts. V4 still answers searches but was tagged
deprecated in favor of 4.5 at authoring time. The members agree on almost nothing mechanically: the
same concept changes name, casing, and allowed values between them, so discover each with `search`
and treat its `model_schema_get` as the contract.
Connection and the core loop: see the `scenario` skill in this repo; model-agnostic image work
(sizing families, reference cardinality, masks): the `scenario-image` skill; running a bake-off
against another family: `scenario-model-comparison`. If a sibling skill named here is missing from
your available skills, ask the user to install it
(`npx skills add scenario-labs/skills --skill <name>`); unattended, proceed from tool schemas and
flag the gap.
## Quick reference
Pick the member by the job (names from the live schemas, caps at authoring time):
| Member | Job | Inputs that matter |
| ----------------------- | -------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| 4.5 | Text-heavy generation, ref edits | `prompt`, `referenceImages` (up to 5, the first is the source), `mask`, `aspectRatio` (auto, source, 25 ratios from 3:1 to 1:3), `resolution` (1K, 2K), `quality`, `magicPrompt`, `numOutputs` (up to 8) |
| 4.5 Precise Edit | Change one thing, keep the rest | `image` (output keeps its size), `mask`, `referenceImages` (up to 4 guides), `quality` (default medium), `numOutputs` (up to 8) |
| V3 Generate Transparent | Native alpha output | `prompt`, `negativePrompt`, `aspectRatio` (15 ratios), `renderingSpeed` (adds FLASH), `expandPrompt`, `numOutputs` (up to 8), `seed` |
| V3 Layerize Text | Flat graphic to layers | `image`, optional `prompt`, `fontName*` or `fontFile*` per tier (H1, H2, Body, Small), `seed` |
| Character | Same character, new scenes | `prompt`, `characterReferenceImage`, `styleType` (Auto, Fiction, Realistic), `aspectRatio` or `resolution`, `image` plus `mask`, `renderingSpeed` (Default, Turbo, Quality), `seed` |
| Remove Background | Cutout to transparent PNG | `image` (10MB cap) |
Nothing transfers between members. Masks flip between them: on 4.5 and Precise Edit white marks the
region to edit, on Character black repaints and white stays. Only V3 Transparent takes a
`negativePrompt`. `renderingSpeed` is uppercase on V3 Transparent and Title case on Character, whose
middle tier is Default.
## 4.5: tiers, sizes, and what they cost
`quality` is the price dial on both 4.5 members (very_low, low, medium, high; very_low needs an
input image, which Precise Edit's `image` satisfies and 4.5 takes as a `referenceImages` entry). At
authoring time `dry_run` quoted 7.75, 13.75, and 41.75 CU for low, medium, and high, Precise Edit's
very_low 3.75, and the same figure at 1K and 2K and for a 0.4 MP, 4.3 MP, or 8.3 MP source; billed
jobs came in 1.75 CU under each estimate. 4.5 defaults to high, its top and most expensive tier;
Precise Edit defaults to medium, and its high picks the best of several candidates at three times
the price. Tier names do not line up across families: Ideogram's high is its ceiling, while GPT
Image 2.5's high is its third tier of five and priced near Ideogram's medium. Compare families at a
matched price, never a matched tier name, and `dry_run` the exact payload.
2K output observed at authoring time: 2048 by 2048 (1:1), 2560 by 1440 (16:9), 2880 by 1440 (2:1),
2944 by 1152 (23:9), 3072 by 1024 (3:1), so the long edge tops out near 3072 and there is no 4K. 1K
is about 1 MP (16:9 returned 1280 by 720) and exists only for 1:1, 4:5, 3:4, 2:3, 5:8, 9:16, 1:2 and
their landscape counterparts; 3:1 at 1K passes `dry_run`, then fails at run time with a hint naming
the fix. A ratio outside the list (4:1) is a 400 listing the allowed values. A `mask` requires
`aspectRatio: "auto"`.
## Edits that keep the canvas
For an edit, `aspectRatio: "source"` on 4.5 and every Precise Edit run return the source's exact
pixel size, even one outside the ratio list: a 1326 by 313 (4.24:1) turnaround sheet came back 1326
by 313 from both, while `auto` rebuilt it as a full 3072 by 1024 scene. Use this when the edited
file must drop back into a layout, a sprite sheet, or a page template unchanged. A localized change
such as a headline swap needs no `mask` on Precise Edit: maskless at the medium default left the
rest of the scene untouched. The GPT Image family pads such a source with white bands instead (see
`scenario-gpt-image`).
In a single-sample bake-off at authoring time against GPT Image 2.5 on the same sources, the 4.5
members disturbed two to four times fewer pixels outside the edited region on a sign-text swap and
an add-and-remove-objects edit, and read closer to a requested painterly medium (a watercolor
restyle, a gouache landscape; hands-on use found the same for pencil sketches). GPT Image 2.5 led on
photoreal product shots, on following a character brief, and on material and color changes: asked
for burnished gold armor, both 4.5 members returned an olive brass, and Precise Edit also recolored
the sword the prompt said to keep. Route by the job, and say "keep everything else exactly the same"
plus the list of what must survive in every edit prompt.
## Exact text wants expansion off
The generators rewrite the prompt before generating by default, which helps a short exploratory
prompt and hurts the family's specialty: the rewrite can paraphrase the exact copy that must render.
When the image carries wording, disable it (`magicPrompt: "off"` on 4.5, `expandPrompt: false` on V3
Transparent), quote each piece of copy, and give it a place and a style ('the headline reads "GRAND
OPENING" in bold condensed capitals across the top'). `magicPrompt` applies to text-to-image only:
4.5 turns every edit into structured instructions regardless.
## Two routes to transparency
Native: V3 Generate Transparent writes the alpha channel directly, so icons, stickers, and UI
elements arrive compositing-ready. Cutout: generate on 4.5, then run Remove Background on the
result; it reconstructs edge pixels with partial transparency rather than segmenting, so hair, fur,
and glass survive. Go native when the asset is designed as an isolated element; go cutout when
typography or overall quality leads. 4.5 has no background field, so prompting "transparent
background" there yields an opaque image.
## Worked example: a localizable poster
1. `search` with `target="models"`, `query="ideogram"`, `public=true`. Members return as separate
hits; match by name, e.g. `model_ideogram-v4-5` for typography (a live hit at authoring time:
re-discover each session).
2. `model_schema_get` with that id: field names, allowed values, and defaults before anything else.
3. `model_run` with that `model_id`, `dry_run=true`, and
`parameters={"prompt": "Retro travel poster, warm dusk palette. The headline reads \"KYOTO IN BLOOM\" in bold serif across the top; caption \"April 2027\" bottom right.", "aspectRatio": "9:16", "resolution": "2K", "quality": "high", "magicPrompt": "off", "numOutputs": 2}`
for the cost estimate.
4. Repeat `model_run` with `wait=false`, then `jobs_wait` with the returned job id, re-called with
`pending_job_ids` on timeout, never a second `model_run`.
5. `asset_display` the outputs and pick one.
6. To make the copy editable, discover the Layerize member the same way
(`model_ideogram-v3-layerize-text` at authoring time), read its schema, and `model_run` with
`parameters={"image": "<poster asset id>"}`: a generated asset's id feeds a file input directly,
no re-upload. The output is a text-erased base plus text blocks with role, position, and content.
7. `jobs_wait`, then `asset_display` and `asset_download`.
## Common mistakes
- Carrying one member's block to the next: `magicPrompt` and `resolution` are 4.5's; V3 Transparent
wants `aspectRatio` and `expandPrompt`; Precise Edit takes `image`, not `referenceImages`, for the
source.
- Leaving 4.5 on its high default for drafts: low or medium first, high for the final.
- Leaving expansion on with exact copy in the prompt: the rewrite can change the words before the
model sees them.
- Editing with `aspectRatio: "auto"` when the canvas must not change: use `source`, or Precise Edit.
- Prompting a transparent background on 4.5: generate on V3 Transparent or chain Remove Background
instead.
- Inpainting on Character with `image` but no `mask`: they go together, `characterReferenceImage`
stays required, and sizing fields are ignored while inpainting.
- Setting `fontNameH1` and `fontFileH1` together on Layerize: a tier's font comes from a font name
or a font file, never both. `upload_asset` has no font kind, so with only a local font file use
the font name route and flag the gap.
© scenario-labs · MIT · scenario-labs/skills